Face Anti-spoofing Detection Based on Novel Encoder Convolutional Neural Network and Texture’s Grayscale Structural Information

Face Anti-spoofing Detection Based on Novel Encoder Convolutional Neural Network and Texture’s Grayscale Structural Information

Abstract The rise in popularity of face anti-spoofing is attributed to its crucial role in safeguarding face recognition systems. Perpetrators use either a photo or a video to execute a face-spoofing attack on the authentication system of an authorized user, aiming to gain access to the user’s resou...

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Bibliographic Details
Main Authors: Marwa Radad, Amira E. Enab, Salah S. Elagooz, Nawal A. El-Fishawy, Mohamed A. El-Rashidy
Format: Article
Language:English
Published: Springer 2025-07-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Classification
Face anti-spoofing
Texture features
RGB color intensity features
Feature extraction
Encoder Convolutional Neural Network
Online Access:https://doi.org/10.1007/s44196-025-00757-z
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https://doi.org/10.1007/s44196-025-00757-z

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